Alan Weiss

80 papers receiving 2.0k citations

Peers

Alan Weiss
Comparison fields: 5 of 135
  • Management Information Systems 592
  • Computer Networks and Communications 933
  • Hardware and Architecture 228
  • Management Science and Operations Research 406
  • Hepatology 244
Replace Uri Yechiali with:
Uri Yechiali Israel
Cyrus Derman United States
Yutaka Takahashi Japan
Peter Taylor Australia
Sanjeev Arora United States
Debasis Mitra United States
Onno Boxma Netherlands
Guy Latouche Belgium
Jan H. van Schuppen Netherlands
Gagan L. Choudhury United States
Alan Weiss relative to Uri Yechiali Israel Uri Yechiali's profile →
Citations per field
00.5×7.6×
Uri Yechiali · 1×
Citations per year

Countries citing papers authored by Alan Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Alan Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan Weiss, 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 Alan Weiss Line = papers co-authored together Alan Weiss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985233
2 1989188
3 1995183
4
Large Deviations For Performance Analysis: Queues, Communication and Computing
1995163
5 1986106
6 199174
7 201161
8 199561
9 198861
10 198655
11 201651
12 199850
13 201148
14 199148
15 200245
16 199341
17 199235
18 199232
19 199230
20 201026

About Alan Weiss

Alan Weiss is a scholar working on Computer Networks and Communications, Management Information Systems, Pulmonary and Respiratory Medicine, Surgery and Hepatology, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (18 papers), Network Traffic and Congestion Control (14 papers), Simulation Techniques and Applications (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Advanced Wireless Network Optimization (7 papers), Photodynamic Therapy Research Studies (5 papers), Wireless Communication Networks Research (5 papers) and Liver Disease and Transplantation (5 papers). The work is most often cited by research in Management Information Systems (592 citations), Computer Networks and Communications (933 citations), Hardware and Architecture (228 citations), Management Science and Operations Research (406 citations) and Hepatology (244 citations). Alan Weiss has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Clyde P. Kruskal, Martin I. Reiman, Adam Shwartz, Debasis Mitra, Boris D. Lubachevsky, Daniel P. Heyman, A. Elwalid, T. V. Lakshman, Marc Snir and Kerry Fendick. Their work appears in journals such as Advances in Applied Probability, Stochastic Processes and their Applications, IEEE Journal on Selected Areas in Communications, The Annals of Applied Probability and ACM SIGMETRICS Performance Evaluation Review.

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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