António Pacheco

83 papers receiving 801 citations

Peers

António Pacheco
Comparison fields: 5 of 81
  • Management Information Systems 244
  • Statistics, Probability and Uncertainty 109
  • Statistics and Probability 123
  • Computer Networks and Communications 309
  • Management Science and Operations Research 124
Replace Marcelo D. Fragoso with:
Marcelo D. Fragoso Brazil
Mohamed Abd Allah El‐Hadidy Egypt
Takayuki Osogami Japan
Gerardo Rubino France
René Boel Belgium
Jinsheng Sun China
H. Heffes United States
Cristina Bazgan France
Douglas R. Shier United States
Jin‐Fu Chang Taiwan
António Pacheco relative to Marcelo D. Fragoso Brazil Marcelo D. Fragoso's profile →
Citations per field
00.5×1.5×2.1×
Marcelo D. Fragoso · 1×
Citations per year

Countries citing papers authored by António Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by António Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200389
2 201266
3 200357
4 201855
5 201647
6 198135
7 200126
8 201724
9 200023
10 202223
11 201220
12 200519
13 200616
14 201415
15 200615
16 200615
17 200714
18 201514
19 200814
20 201213

About António Pacheco

António Pacheco is a scholar working on Management Information Systems, Computer Networks and Communications, Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research, having authored 89 papers that have together received 845 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (35 papers), Advanced Statistical Process Monitoring (21 papers), Network Traffic and Congestion Control (16 papers), Scientific Measurement and Uncertainty Evaluation (14 papers), Simulation Techniques and Applications (13 papers), Advanced Statistical Methods and Models (10 papers), Petri Nets in System Modeling (8 papers) and Probability and Risk Models (7 papers). The work is most often cited by research in Management Information Systems (244 citations), Statistics, Probability and Uncertainty (109 citations), Statistics and Probability (123 citations), Computer Networks and Communications (309 citations) and Management Science and Operations Research (124 citations). António Pacheco has collaborated with scholars based in Portugal, Germany and United States. Frequent co-authors include Rui Valadas, Paulo Salvador, M. Rosário Oliveira, M. L. Chaudhry, Denis J. McConalogue, N. U. Prabhu, S. K. Samanta, Peter Filzmoser, António Nogueira and Paula Milheiro–Oliveira. Their work appears in journals such as Queueing Systems, Journal of Applied Probability, ACM SIGMETRICS Performance Evaluation Review, Neurocomputing and Annals of Operations Research.

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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