George J. Besseris

646 citations
64 papers · 523 indexed · h-index 13

George J. Besseris

60 papers receiving 510 citations

Peers

George J. Besseris
Comparison fields: 5 of 90
  • Statistics, Probability and Uncertainty 113
  • Management Information Systems 106
  • Management Science and Operations Research 140
  • Statistics and Probability 70
  • Medical Laboratory Technology 10
Replace Belmiro P.M. Duarte with:
Belmiro P.M. Duarte Portugal
Taha‐Hossein Hejazi Iran
Surajit Pal India
Marzieh Khakifirooz United States
Rui Kang China
Laura Ilzarbe Spain
Domenico Falcone Italy
D.R. Prajapati India
Dean V. Neubauer United States
George Nenes Greece
George J. Besseris relative to Belmiro P.M. Duarte Portugal Belmiro P.M. Duarte's profile →
Citations per field
00.5×3.3×
Belmiro P.M. Duarte · 1×
Citations per year

Countries citing papers authored by George J. Besseris

Since Specialization
Citations

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

Fields of papers citing papers by George J. Besseris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George J. Besseris. 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 George J. Besseris. The network helps show where George J. Besseris may publish in the future.

Co-authorship network

The 10 scholars most cited alongside George J. Besseris, 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 George J. Besseris Line = papers co-authored together George J. Besseris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20232
4 20230
5 20231
6 20214
7 20205
8 20185
9 201830
10 20143
11 201410
12 201312
13 20132
14 20134
15
QUALITY IMPROVEMENT THROUGH AUTOMATION OF PRODUCT DESIGN PROCESS IN A MANUFACTURING ORGANIZATION
20121
16 20110
17 201020
18 20103
19 200925
20 20092

About George J. Besseris

George J. Besseris is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability, having authored 64 papers that have together received 523 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (28 papers), Advanced Statistical Process Monitoring (15 papers), Manufacturing Process and Optimization (10 papers), Spectroscopy and Chemometric Analyses (9 papers), Probabilistic and Robust Engineering Design (6 papers), Quality and Supply Management (5 papers), Statistical Distribution Estimation and Applications (5 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (113 citations), Management Information Systems (106 citations) and Management Science and Operations Research (140 citations). George J. Besseris has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Emmanuel Vassilakis, Constantinos Stergiou, Anagnostis Toulfatzis, George Pantazopoulos, Donovan B. Yeates, Panagiotis Tsarouhas, Alkiviadis S. Paipetis, Irving F. Miller, Mukesh Limbachiya and Maria Dimou. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026