Jamol Pender

49 papers receiving 503 citations

Peers

Jamol Pender
Comparison fields: 5 of 74
  • Management Information Systems 346
  • Transportation 99
  • Emergency Medical Services 97
  • Management Science and Operations Research 161
  • Statistics and Probability 67
Replace Hans Daduna with:
Hans Daduna Germany
J. Medhi India
Ralph L. Disney United States
Jan Kriege Germany
Tuan Phung-Duc Japan
A. V. Pechinkin Russia
P. P. Bocharov Russia
Zohar Feldman Israel
Shiyong Li China
Tania Jiménez France
Jamol Pender relative to Hans Daduna Germany Hans Daduna's profile →
Citations per field
00.5×3.4×
Hans Daduna · 1×
Citations per year

Countries citing papers authored by Jamol Pender

Since Specialization
Citations

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

Fields of papers citing papers by Jamol Pender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Jamol Pender, 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 Jamol Pender Line = papers co-authored together Jamol Pender links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201481
2 201338
3 201432
4 201631
5 201731
6 201826
7 201422
8 202015
9 201115
10 201715
11 201915
12 202015
13 201814
14 201613
15 201412
16 201711
17 201610
18 201810
19 201710
20 20169

About Jamol Pender

Jamol Pender is a scholar working on Management Information Systems, Management Science and Operations Research, Computer Networks and Communications, Statistics and Probability and Transportation, having authored 54 papers that have together received 521 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (43 papers), Simulation Techniques and Applications (14 papers), Probability and Risk Models (12 papers), Healthcare Operations and Scheduling Optimization (9 papers), Network Traffic and Congestion Control (8 papers), Transportation Planning and Optimization (8 papers), Random Matrices and Applications (6 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Management Information Systems (346 citations), Transportation (99 citations), Emergency Medical Services (97 citations), Management Science and Operations Research (161 citations) and Statistics and Probability (67 citations). Jamol Pender has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include William A. Massey, Richard H. Rand, Young Myoung Ko, Otis B. Jennings, Shuang Tao, Robert C. Hampshire, Walter S. Lasecki, Shan Bao, Jin Xu and Onno Boxma. Their work appears in journals such as Queueing Systems, Probability in the Engineering and Informational Sciences, International Journal of Bifurcation and Chaos, Operations Research Letters and Management Science.

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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