Imre Dobos

78 papers receiving 1.3k citations

Peers

Imre Dobos
Comparison fields: 5 of 88
  • Management Information Systems 592
  • Strategy and Management 878
  • Industrial and Manufacturing Engineering 355
  • Management Science and Operations Research 303
  • Industrial and Manufacturing Engineering 136
Replace Sidhartha S. Padhi with:
Sidhartha S. Padhi India
Yijie Dou China
Kaiying Cao China
Robert E. Hooker United States
Markus Biehl Canada
Jiayao Hu United Kingdom
Kalyan Singhal United States
Y. H. Venus Lun Hong Kong
Qianli Dong China
Chun‐Wei Lin Taiwan
Imre Dobos relative to Sidhartha S. Padhi India Sidhartha S. Padhi's profile →
Citations per field
00.5×2.9×
Sidhartha S. Padhi · 1×
Citations per year

Countries citing papers authored by Imre Dobos

Since Specialization
Citations

This map shows the geographic impact of Imre Dobos'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 Imre Dobos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imre Dobos more than expected).

Fields of papers citing papers by Imre Dobos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Imre Dobos. 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 Imre Dobos. The network helps show where Imre Dobos may publish in the future.

Co-authors

The 11 scholars most cited alongside Imre Dobos, 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 Imre Dobos Line = papers co-authored together Imre Dobos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003172
2 2014127
3 2006121
4 2002111
5 199989
6 201884
7 202069
8
A PRODUCTION/RECYCLING MODEL WITH STATIONARY DEMAND AND RETURN RATES
200366
9 200465
10 202058
11 202038
12 200626
13 201916
14 201815
15 201113
16 200613
17 199913
18 202312
19 199812
20 200112

About Imre Dobos

Imre Dobos is a scholar working on Strategy and Management, Economics and Econometrics, Management Information Systems, Geography, Planning and Development and Management Science and Operations Research, having authored 103 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (25 papers), Hungarian Social, Economic and Educational Studies (20 papers), Supply Chain and Inventory Management (13 papers), Efficiency Analysis Using DEA (11 papers), Recycling and Waste Management Techniques (9 papers), Economic theories and models (7 papers), Multi-Criteria Decision Making (7 papers) and Quality and Supply Management (7 papers). The work is most often cited by research in Management Information Systems (592 citations), Strategy and Management (878 citations), Industrial and Manufacturing Engineering (355 citations), Management Science and Operations Research (303 citations) and Industrial and Manufacturing Engineering (136 citations). Imre Dobos has collaborated with scholars based in Hungary, Germany and Russia. Frequent co-authors include Knut Richter, Gyöngyi Vörösmarty, Péter Sasvári, Grigory Pishchulov, Gábor Michalkó, Mária Csutora, R. Lásztity, Ferenc Örsi, Judit Nagy and Gyula Bakacsi. Their work appears in journals such as International Journal of Production Economics, Journal of Business Economics, Central European Journal of Operations Research, Review of Managerial Science and Economic Systems 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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