J.S. Kaufman

1.3k total citations · 1 hit paper
22 papers, 891 citations indexed

About

J.S. Kaufman is a scholar working on Management Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, J.S. Kaufman has authored 22 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Information Systems, 11 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in J.S. Kaufman's work include Advanced Queuing Theory Analysis (13 papers), Network Traffic and Congestion Control (7 papers) and Advanced Wireless Network Optimization (5 papers). J.S. Kaufman is often cited by papers focused on Advanced Queuing Theory Analysis (13 papers), Network Traffic and Congestion Control (7 papers) and Advanced Wireless Network Optimization (5 papers). J.S. Kaufman collaborates with scholars based in United States, India and Israel. J.S. Kaufman's co-authors include E. Arthurs, Kiran M. Rege, Wing Shing Wong, Bharat T. Doshi, Ashwin Sampath, Anurag Kumar, Robert Morris, Kenneth C. Budka, Murali Kodialam and Flavio Bonomi and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Operations Research and IEEE Transactions on Vehicular Technology.

In The Last Decade

J.S. Kaufman

22 papers receiving 821 citations

Hit Papers

Blocking in a Shared Resource Environment 1981 2026 1996 2011 1981 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Blocking in a Shared Resource Environment
    1981 678 citations J.S. Kaufman IRE Transactions on Communications Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J.S. Kaufman United States 7 737 619 483 73 50 22 891
Bart Steyaert Belgium 14 390 0.5× 559 0.9× 293 0.6× 108 1.5× 73 1.5× 90 648
Yonatan Levy United States 7 200 0.3× 471 0.8× 258 0.5× 172 2.4× 62 1.2× 11 576
R.D. van der Mei Netherlands 14 271 0.4× 393 0.6× 157 0.3× 98 1.3× 16 0.3× 58 509
Martin Eisenberg United States 8 201 0.3× 335 0.5× 162 0.3× 116 1.6× 24 0.5× 17 459
Tuan Phung-Duc Japan 15 307 0.4× 520 0.8× 263 0.5× 203 2.8× 34 0.7× 83 684
Woei Lin Taiwan 10 261 0.4× 185 0.3× 172 0.4× 54 0.7× 10 0.2× 56 516
Armin Heindl Germany 11 232 0.3× 181 0.3× 92 0.2× 42 0.6× 38 0.8× 25 338
Ram Chakka United Kingdom 9 201 0.3× 262 0.4× 119 0.2× 75 1.0× 30 0.6× 37 362
Vittoria de Nitto Personé Italy 7 301 0.4× 192 0.3× 108 0.2× 80 1.1× 34 0.7× 20 464
Annie Gravey France 10 427 0.6× 284 0.5× 236 0.5× 40 0.5× 7 0.1× 44 560

Countries citing papers authored by J.S. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.S. Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of J.S. Kaufman. A scholar is included among the top collaborators of J.S. Kaufman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.S. Kaufman. J.S. Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sampath, Ashwin, J.S. Kaufman, Murali Kodialam, & Kenneth C. Budka. (2003). Performance analysis of call assignment and carrier packing schemes for tdma systems. IEEE Transactions on Vehicular Technology. 52(6). 1540–1557. 3 indexed citations
2.
Kaufman, J.S. & Wing Shing Wong. (1994). Approximate analysis of a gordon-newell like non-product-form queueing network. Annals of Operations Research. 48(3). 249–271. 1 indexed citations
3.
Kaufman, J.S.. (1994). The art of computer systems performance analysis, by R. Jain, John Wiley & Sons. New York, 1991, 685 pp.. Networks. 24(2). 127–127. 1 indexed citations
4.
Kaufman, J.S.. (1992). Blocking with retrials in a completely shared resource environment. Performance Evaluation. 15(2). 99–116. 50 indexed citations
5.
6.
Bonomi, Flavio, et al.. (1990). A case study of an adaptive load balancing algorithm. Queueing Systems. 7(1). 23–49. 3 indexed citations
7.
Kaufman, J.S., et al.. (1989). A conservation law based approximate analysis for a class of simultaneous resource possession problems. Performance Evaluation. 10(4). 263–280. 1 indexed citations
8.
Kaufman, J.S., et al.. (1988). Approximate analysis of a simultaneous resource possession problem.. ICCC. 199–206. 5 indexed citations
9.
Kaufman, J.S., et al.. (1988). Performance Analysis of System 75. AT&T Technical Journal. 67(5). 110–120. 1 indexed citations
10.
Kaufman, J.S., et al.. (1988). Workload characterization in PBX performance studies. 184–189. 1 indexed citations
11.
Kaufman, J.S.. (1986). A Recursive Approximation Technique for a Combined Source Queueing Model. IEEE Journal on Selected Areas in Communications. 4(6). 919–925. 4 indexed citations
12.
Kaufman, J.S.. (1984). Finite and Infinite Source Interactions. International Symposium on Computer Modeling, Measurement and Evaluation. 345–359. 11 indexed citations
13.
Kaufman, J.S.. (1984). Approximation methods for networks of queues with priorities. Performance Evaluation. 4(3). 183–198. 21 indexed citations
14.
Morris, Robert & J.S. Kaufman. (1982). Performance Comparison of I/O Access Disciplines for Transaction-Processing Systems. The Computer Journal. 25(1). 74–83. 1 indexed citations
15.
Kaufman, J.S.. (1981). Congestion Formulas for a Heterogeneous Server Loss System with Random Selection Discipline. Operations Research. 29(6). 1167–1180. 1 indexed citations
16.
Kaufman, J.S.. (1981). Blocking in a Shared Resource Environment. IRE Transactions on Communications Systems. 29(10). 1474–1481. 678 indexed citations breakdown →
17.
Arthurs, E. & J.S. Kaufman. (1979). Sizing a Message Store Subject to Blocking Criteria. International Symposium on Computer Modeling, Measurement and Evaluation. 547–564. 36 indexed citations
18.
Kaufman, J.S.. (1979). Technical Note—The Busy Probability in M/G/N Loss Systems. Operations Research. 27(1). 204–206. 3 indexed citations
19.
Kaufman, J.S.. (1977). A brief sketch of CSIT's history. 5(17). 3–3. 1 indexed citations
20.
Kaufman, J.S.. (1977). Faulty-Trunk Detection Algorithms Using EADAS/ICUR Traffic Data. Bell System Technical Journal. 56(6). 919–976. 4 indexed citations

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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