Csaba Makó

92 papers receiving 618 citations

Peers

Csaba Makó
Comparison fields: 5 of 120
  • Public Administration 33
  • Geography, Planning and Development 52
  • Management of Technology and Innovation 63
  • Organizational Behavior and Human Resource Management 79
  • Strategy and Management 78
Replace Ignacio J Martinez-Moyano with:
Ignacio J Martinez-Moyano United States
Mark de Bruijne Netherlands
Frances A. O’Brien United Kingdom
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Pin‐Yu Chu Taiwan
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Citations per year

Countries citing papers authored by Csaba Makó

Since Specialization
Citations

This map shows the geographic impact of Csaba Makó's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Csaba Makó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Makó more than expected).

Fields of papers citing papers by Csaba Makó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Csaba Makó. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Csaba Makó. The network helps show where Csaba Makó may publish in the future.

Co-authors

The 25 scholars most cited alongside Csaba Makó, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Csaba Makó Line = papers co-authored together Csaba Makó links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202285
2 202168
3 202068
4 202262
5 202235
6 200425
7 201617
8 202216
9 201815
10 201613
11 202313
12 202212
13 202111
14 201010
15
HR issues evolution along the market lifecycle and the value chain: Case of the hi-tech industry
20149
16 20209
17 19979
18 20228
19 20208
20 20128

About Csaba Makó

Csaba Makó is a scholar working on Geography, Planning and Development, Political Science and International Relations, Philosophy, Management of Technology and Innovation and General Health Professions, having authored 123 papers that have together received 713 indexed citations. Recurring topics across this work include Hungarian Social, Economic and Educational Studies (27 papers), Health, Medicine and Society (15 papers), Hermeneutics and Narrative Identity (15 papers), Aging, Elder Care, and Social Issues (15 papers), Regional Development and Policy (14 papers), Digital Economy and Work Transformation (10 papers), Entrepreneurship Studies and Influences (10 papers) and Labor Movements and Unions (8 papers). The work is most often cited by research in Public Administration (33 citations), Geography, Planning and Development (52 citations), Management of Technology and Innovation (63 citations), Organizational Behavior and Human Resource Management (79 citations) and Strategy and Management (78 citations). Csaba Makó has collaborated with scholars based in Hungary, Slovakia and Germany. Frequent co-authors include Amir Mosavi, Sina Ardabili, Péter Csizmadia, Saeed Nosratabadi, Zoltán Lakner, Miklós Szanyi, Anthony Theodore Chronopoulos, Said Elnaffar, Massoud Moslehpour and Hao-Ting Pai. Their work appears in journals such as Industrial and Labor Relations Review, Frontiers in Energy Research, European Economic Review, Sociologie du Travail and Transfer European Review of Labour and Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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