S. Vajda

625 citations
21 papers · 356 · h-index 10

Impact in

Papers in

S. Vajda

19 papers receiving 301 citations

Peers

S. Vajda
Comparison fields: 5 of 98
  • Management Science and Operations Research 130
  • Management Information Systems 46
  • Industrial and Manufacturing Engineering 46
  • Economics and Econometrics 77
  • Transportation 17
Replace Ralph E. Strauch with:
Ralph E. Strauch United States
Gary M. Roodman United States
David C. Heath United States
Kenneth D. Lawrence United States
E. Shlifer Israel
János Mayer Switzerland
Alexander Mehlmann Austria
Bertil Näslund Sweden
Alan G. Merten United States
Andrew P. Sage United States
S. Vajda relative to Ralph E. Strauch United States Ralph E. Strauch's profile →
Citations per field
00.5×
Ralph E. Strauch · 1×
Citations per year

Countries citing papers authored by S. Vajda

Since Specialization
Citations

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

Fields of papers citing papers by S. Vajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside S. Vajda, 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 S. Vajda Line = papers co-authored together S. Vajda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961104
2 197970
3 195958
4 196230
5 199513
6 196013
7 197712
8 196212
9 196210
10 196810
11 19626
12 19603
13 19523
14 19613
15 19822
16 19622
17 19661
18 19651
19 19591
20 19621

About S. Vajda

S. Vajda is a scholar working on Management Science and Operations Research, Artificial Intelligence, Demography, Computer Networks and Communications and Control and Systems Engineering, having authored 21 papers that have together received 356 indexed citations. Recurring topics across this work include Operations Management Techniques (3 papers), Complex Systems and Decision Making (3 papers), Scheduling and Timetabling Solutions (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Insurance and Financial Risk Management (1 paper), Statistics Education and Methodologies (1 paper), Advanced Database Systems and Queries (1 paper) and Credit Risk and Financial Regulations (1 paper). The work is most often cited by research in Management Science and Operations Research (130 citations), Management Information Systems (46 citations), Industrial and Manufacturing Engineering (46 citations), Economics and Econometrics (77 citations) and Transportation (17 citations). Frequent co-authors include C. West Churchman, Graham K. Rand, Lawrence Friedman, Maurice Sasieni, A. R. Smith, Russell L. Ackoff, C. D. Daykin, Teivo Pentikäinen and D. S. Villars. Their work appears in journals such as Journal of the Operational Research Society, Astin Bulletin, Journal of the American Statistical Association, Econometrica and The Mathematical Gazette.

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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