Johannes Wachs

Personal Details

First Name:	Johannes
Middle Name:
Last Name:	Wachs
Suffix:
RePEc Short-ID:	pwa1059
	[This author has chosen not to make the email address public]
	http://johanneswachs.com
Terminal Degree:	(from RePEc Genealogy)

Affiliation

(50%) Közgazdaság-tudományi Intézet
Közgazdaság- és Regionális Tudományi Kutatóközpont

Budapest, Hungary
http://www.mtakti.hu/
RePEc:edi:iehashu (more details at EDIRC)

(50%) Gazdálkodástudományi Kar
Budapesti Corvinus Egyetem

Budapest, Hungary
http://gazdalkodastudomany.uni-corvinus.hu/
RePEc:edi:gkcorhu (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Gergő Tóth & Johannes Wachs & Riccardo Di Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," CERS-IE WORKING PAPERS 2116, Institute of Economics, Centre for Economic and Regional Studies.
   • Gergő Tóth & Johannes Wachs & Riccardo Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," Nature Communications, Nature, vol. 12(1), pages 1-9, December.

   Cited by:

   1. Kolkowski, Lukas & Cats, Oded & Dixit, Malvika & Verma, Trivik & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak Jarlebring, 2023. "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, Elsevier, vol. 110(C).
   2. Tobias Ruttenauer, 2024. "Spatial Data Analysis," Papers 2402.09895, arXiv.org.
   3. Tanner Regan & Andreas Diemer & Cheng Keat Tang, 2023. "The Role of Social Connections in the Racial Segregation of US Cities," Working Papers 2023-05, The George Washington University, Institute for International Economic Policy.
   4. Rüttenauer, Tobias, 2023. "Spatial Data Analysis," SocArXiv mq7te, Center for Open Science.
   5. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
      • Jan Schulz & Daniel M. Mayerhoffer, 2022. "A Network Approach to Consumption," Papers 2203.14259, arXiv.org, revised Apr 2022.
   6. Wang, Xi & Pei, Tao & Song, Ci & Chen, Jie & Shu, Hua & Liu, Yaxi & Guo, Sihui & Chen, Xiao, 2023. "How does socioeconomic status influence social relations? A perspective from mobile phone data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
   7. Éva Huszti & Fruzsina Albert & Adrienn Csizmady & Ilona Nagy & Beáta Dávid, 2021. "When Spatial Dimension Matters: Comparing Personal Network Characteristics in Different Segregated Areas," Social Inclusion, Cogitatio Press, vol. 9(4), pages 375-387.
   8. Stark, Oded & Bielawski, Jakub & Falniowski, Fryderyk, 2023. "Measuring income inequality in social networks," Discussion Papers 338791, University of Bonn, Center for Development Research (ZEF).
      • Stark, Oded & Bielawski, Jakub & Falniowski, Fryderyk, 2023. "Measuring Income Inequality in Social Networks," IZA Discussion Papers 16666, Institute of Labor Economics (IZA).
   9. Arkangel M. Cordero & Alexander C. Lewis, 2024. "How Does Regional Social Capital Structure the Relationship Between Entrepreneurship, Ethnic Diversity, and Residential Segregation?," Entrepreneurship Theory and Practice, , vol. 48(3), pages 788-825, May.
   10. Sanghamitra Mukherjee, 2021. "A Framework to Measure Regional Disparities in Battery Electric Vehicle Diffusion in Ireland," Working Papers 202119, School of Economics, University College Dublin.

2. Johannes Wachs & Mih'aly Fazekas & J'anos Kert'esz, 2019. "Corruption Risk in Contracting Markets: A Network Science Perspective," Papers 1909.08664, arXiv.org.

   Cited by:

   1. Longbing Cao, 2021. "AI in Finance: Challenges, Techniques and Opportunities," Papers 2107.09051, arXiv.org.

3. Johannes Wachs & J'anos Kert'esz, 2019. "A network approach to cartel detection in public auction markets," Papers 1906.08667, arXiv.org.

   Cited by:

   1. J'anos Kert'esz & Johannes Wachs, 2020. "Complexity science approach to economic crime," Papers 2008.12364, arXiv.org.
   2. Bovin, Andreas & Bos, Iwan, 2023. "Market Shares as Collusive Marker: Evidence from the European Truck Industry," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
   3. Mihály Fazekas & Johannes Wachs, 2020. "Corruption and the Network Structure of Public Contracting Markets across Government Change," Politics and Governance, Cogitatio Press, vol. 8(2), pages 153-166.
   4. Kei Kawai & Jun Nakabayashi & Juan Ortner & Sylvain Chassang, 2023. "Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 376-403.
      • Kei Kawai & Jun Nakabayashi & Juan M. Ortner & Sylvain Chassang, 2022. "Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach," NBER Working Papers 29625, National Bureau of Economic Research, Inc.
      • Kei Kawai & Jun Nakabayashi & Juan Ortner & Sylvain Chassang, 2021. "Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach," Working Papers 2021-76, Princeton University. Economics Department..
   5. Ribeiro, Haroldo V. & Lopes, Diego D. & Pessa, Arthur A.B. & Martins, Alvaro F. & da Cunha, Bruno R. & Gonçalves, Sebastián & Lenzi, Ervin K. & Hanley, Quentin S. & Perc, Matjaž, 2023. "Deep learning criminal networks," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
   6. Kurdoglu, Berkay & Yucel, Eray, 2022. "A Cointegration-based cartel screen for detecting collusion," MPRA Paper 113888, University Library of Munich, Germany.
   7. Granlund, David & Rudholm, Niklas, 2023. "Calculating the probability of collusion based on observed price patterns," Umeå Economic Studies 1014, Umeå University, Department of Economics, revised 13 Oct 2023.
   8. Gabrielli, M. Florencia & Willington, Manuel, 2023. "Estimating damages from bidding rings in first-price auctions," Economic Modelling, Elsevier, vol. 126(C).
   9. Lucas Potin & Rosa Figueiredo & Vincent Labatut & Christine Largeron, 2023. "Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement," Post-Print hal-04131485, HAL.
   10. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.

Articles

1. Wachs, Johannes & Nitecki, Mariusz & Schueller, William & Polleres, Axel, 2022. "The Geography of Open Source Software: Evidence from GitHub," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

   Cited by:

   1. Papoutsoglou, Maria & Rigas, Emmanouil S. & Kapitsaki, Georgia M. & Angelis, Lefteris & Wachs, Johannes, 2022. "Online labour market analytics for the green economy: The case of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

2. Papoutsoglou, Maria & Rigas, Emmanouil S. & Kapitsaki, Georgia M. & Angelis, Lefteris & Wachs, Johannes, 2022. "Online labour market analytics for the green economy: The case of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

   Cited by:

   1. Emmanouil S. Rigas & Tatiana Pourliaka & Maria Papoutsoglou & Hariklia Proios, 2023. "Towards a topic modeling approach to semi-automatically detect self-reported stroke symptoms (FAST symptoms) and their correlation with aphasia types," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1321-1336, April.
   2. Yu, Quanqing & Nie, Yuwei & Peng, Simin & Miao, Yifan & Zhai, Chengzhi & Zhang, Runfeng & Han, Jinsong & Zhao, Shuo & Pecht, Michael, 2023. "Evaluation of the safety standards system of power batteries for electric vehicles in China," Applied Energy, Elsevier, vol. 349(C).
   3. S. Di Luozzo & A. Fronzetti Colladon & M. M. Schiraldi, 2024. "Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining," Papers 2403.17546, arXiv.org.

3. Wachs, Johannes & Vedres, Balázs, 2021. "Does crowdfunding really foster innovation? Evidence from the board game industry," Technological Forecasting and Social Change, Elsevier, vol. 168(C).

   Cited by:

   1. Bootz, Jean-Philippe & Michel, Sophie & Pallud, Jessie & Monti, Régine, 2022. "Possible changes of Industry 4.0 in 2030 in the face of uberization: Results of a participatory and systemic foresight study," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
   2. Berné-Martínez, J.M. & Ortigosa-Blanch, Arturo & Planells-Artigot, Enrique, 2021. "A semantic analysis of crowdfunding in the digital press," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
   3. Wang, Yinghuan & Wang, Baolin & Yan, Yan, 2022. "Does network externality affect your project? Evidences from reward-based technology crowdfunding," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
   4. Xiaohang Wu & Hasan Dinçer & Serhat Yüksel, 2022. "Analysis of crowdfunding platforms for microgrid project investors via a q-rung orthopair fuzzy hybrid decision-making approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.
   5. Jiao, Hao & Wang, Lindong & Yang, Jifeng, 2023. "Standing head and shoulders above others? Complementor experience-based design and crowdfunding success on digital platforms," Technovation, Elsevier, vol. 128(C).
   6. Wachs, Johannes & Nitecki, Mariusz & Schueller, William & Polleres, Axel, 2022. "The Geography of Open Source Software: Evidence from GitHub," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

4. Gergő Tóth & Johannes Wachs & Riccardo Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
   • Gergő Tóth & Johannes Wachs & Riccardo Di Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," CERS-IE WORKING PAPERS 2116, Institute of Economics, Centre for Economic and Regional Studies.
   See citations under working paper version above.
5. Mihály Fazekas & Johannes Wachs, 2020. "Corruption and the Network Structure of Public Contracting Markets across Government Change," Politics and Governance, Cogitatio Press, vol. 8(2), pages 153-166.

   Cited by:

   1. Pierre-Henri Morand & François Maréchal, 2021. "Are social and environmental clauses a tool for favoritism? Analysis of French public procurement contracts ," Post-Print hal-03418572, HAL.
   2. Maréchal, François & Morand, Pierre-Henri, 2022. "Are social and environmental clauses a tool for favoritism? Analysis of French public procurement contracts," European Journal of Political Economy, Elsevier, vol. 73(C).
   3. Fabrizio Di Mascio & Simona Piattoni, 2020. "Corruption Control in the Developed World," Politics and Governance, Cogitatio Press, vol. 8(2), pages 72-77.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-NET: Network Economics (2) 2019-09-30 2021-05-10. Author is listed
2. NEP-CDM: Collective Decision-Making (1) 2019-06-17. Author is listed
3. NEP-COM: Industrial Competition (1) 2019-06-17. Author is listed
4. NEP-CTA: Contract Theory and Applications (1) 2019-06-17. Author is listed
5. NEP-DES: Economic Design (1) 2019-06-17. Author is listed
6. NEP-IND: Industrial Organization (1) 2019-06-17. Author is listed
7. NEP-RMG: Risk Management (1) 2019-09-30. Author is listed
8. NEP-SOC: Social Norms and Social Capital (1) 2021-05-10. Author is listed
9. NEP-URE: Urban and Real Estate Economics (1) 2021-05-10. Author is listed

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