David L. Jagerman

43 papers receiving 1.1k citations

Peers

David L. Jagerman
Comparison fields: 5 of 78
  • Management Information Systems 560
  • Computer Networks and Communications 418
  • Electrical and Electronic Engineering 271
  • Management Science and Operations Research 232
  • Applied Mathematics 176
Replace Gerald S. Shedler with:
Gerald S. Shedler United States
Gagan L. Choudhury United States
Richard F. Serfozo United States
Anatolii A. Puhalskii Russia
Alan G. Konheim United States
Guy Cohen France
Dean S. Clark United States
Winfried K. Grassmann Canada
Guy Latouche Belgium
Beatrice Meini Italy
David L. Jagerman relative to Gerald S. Shedler United States Gerald S. Shedler's profile →
Citations per field
00.5×3.3×
Gerald S. Shedler · 1×
Citations per year

Countries citing papers authored by David L. Jagerman

Since Specialization
Citations

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

Fields of papers citing papers by David L. Jagerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Jagerman. 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 David L. Jagerman. The network helps show where David L. Jagerman may publish in the future.

Co-authorship network of co-authors of David L. Jagerman

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Jagerman. A scholar is included among the top collaborators of David L. Jagerman 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 David L. Jagerman. David L. Jagerman 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
#WorkIndexed citations
1 14
2 10
3 43
4
Stochastic modeling of traffic processes
53
5 1
6
Burstiness Descriptors Of Traffic Streams: Indices Of Dispersion And Peakedness
13
7 3
8 18
9 72
10 94
11 8
12 2
13 1
14 74
15 6
16 0
17 13
18 8
19 1
20 83

About David L. Jagerman

David L. Jagerman is a scholar working on Management Information Systems, Numerical Analysis and Management Science and Operations Research, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (15 papers), Wireless Communication Networks Research (5 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Management Information Systems (560 citations), Management Science and Operations Research (232 citations) and Computer Networks and Communications (418 citations). David L. Jagerman has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Benjamin Melamed, Lawrence J. Fogel, Tayfur Altıok, Walter Willinger, B. Sengupta, Wei Xiong, Brian L. Mark, Bharat T. Doshi, G. Ramamurthy and Arie Ben‐David. Their work appears in journals such as IEEE Transactions on Information Theory, Mathematics of Computation and SIAM Journal on Applied Mathematics.

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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