Thomas K. Philips

768 citations
38 papers · 493 · h-index 11

Impact in

    • Mobile Ad Hoc Networks
    • Opportunistic and Delay-Tolerant Networks
    • Cooperative Communication and Network Coding
    • Energy Efficient Wireless Sensor Networks
    • Network Traffic and Congestion Control
  • Finance top 5%
    • Financial Markets and Investment Strategies

Papers in

Thomas K. Philips

35 papers receiving 437 citations

Peers

Thomas K. Philips
Comparison fields: 5 of 58
  • Computer Networks and Communications 294
  • Finance 100
  • Management Information Systems 72
  • Hardware and Architecture 29
  • Accounting 48
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Citations per field
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Citations per year

Countries citing papers authored by Thomas K. Philips

Since Specialization
Citations

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

Fields of papers citing papers by Thomas K. Philips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas K. Philips. 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 Thomas K. Philips. The network helps show where Thomas K. Philips may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989184
2 199340
3 199936
4 198933
5 198932
6 199523
7 199622
8
EQUITY RISK PREMIUM FORUM
200213
9 199513
10 199013
11 200311
12 20039
13 20169
14 20058
15 19927
16 20205
17 20023
18 19923
19 20113
20
Simple Proofs of Some Folk Theorems for Parallel Queues.
19893

About Thomas K. Philips

Thomas K. Philips is a scholar working on Finance, Management Science and Operations Research, Management Information Systems, Strategy and Management and Accounting, having authored 38 papers that have together received 493 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (10 papers), Advanced Queuing Theory Analysis (7 papers), Financial Reporting and Valuation Research (6 papers), Auditing, Earnings Management, Governance (5 papers), Advanced Wireless Network Optimization (4 papers), Stochastic processes and financial applications (3 papers), Optimization and Packing Problems (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Computer Networks and Communications (294 citations), Finance (100 citations), Management Information Systems (72 citations), Hardware and Architecture (29 citations) and Accounting (48 citations). Thomas K. Philips has collaborated with scholars based in United States, Bulgaria and United Kingdom. Frequent co-authors include Randolph Nelson, Shivendra S. Panwar, Asser Tantawi, Emmanuel Yashchin, David M. Stein, Jarrod W. Wilcox, Don Towsley, Armand M. Makowski, J.K. Wolf and Michael Liu. Their work appears in journals such as The Journal of Portfolio Management, IEEE Transactions on Information Theory, Journal of Applied Probability, The American Statistician 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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