Daryl Essam

7.2k citations
233 papers · 5.5k · h-index 44

Impact in

Papers in

Daryl Essam

228 papers receiving 5.3k citations

Peers

Daryl Essam
Comparison fields: 5 of 135
  • Industrial and Manufacturing Engineering 1.2k
  • Management Information Systems 804
  • Computational Theory and Mathematics 1.4k
  • Artificial Intelligence 2.6k
  • Strategy and Management 826
Replace Ruhul Amin Sarker with:
Ruhul Amin Sarker Australia
Ardeshir Bahreininejad Iran
Runwei Cheng Japan
Dingwei Wang China
Kenneth Sörensen Belgium
Shu‐Cherng Fang United States
Gilles Savard Canada
Wei‐Chang Yeh Taiwan
Liang Qi China
Cheng Wu China
Daryl Essam relative to Ruhul Amin Sarker Australia Ruhul Amin Sarker's profile →
Citations per field
00.5×1.5×
Ruhul Amin Sarker · 1×
Citations per year

Countries citing papers authored by Daryl Essam

Since Specialization
Citations

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

Fields of papers citing papers by Daryl Essam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013175
2 2011166
3 2012137
4 2008125
5 2012112
6 2011111
7 201198
8 201694
9 201493
10 201986
11 201786
12 200482
13 201579
14 201778
15 201477
16 201275
17 201175
18 201673
19 200570
20 201769

About Daryl Essam

Daryl Essam is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research, having authored 233 papers that have together received 5.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (113 papers), Evolutionary Algorithms and Applications (88 papers), Advanced Multi-Objective Optimization Algorithms (82 papers), Scheduling and Optimization Algorithms (35 papers), Supply Chain and Inventory Management (29 papers), Sustainable Supply Chain Management (21 papers), Supply Chain Resilience and Risk Management (20 papers) and Resource-Constrained Project Scheduling (18 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Management Information Systems (804 citations), Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (2.6k citations) and Strategy and Management (826 citations). Daryl Essam has collaborated with scholars based in Australia, South Korea and Mexico. Frequent co-authors include Ruhul Amin Sarker, Saber Mohammed Elsayed, Sanjoy Kumar Paul, Ripon Kumar Chakrabortty, Bob McKay, Hawa Hishamuddin, Hussein A. Abbass, Ismail Mohamed Ali, Kathryn Kasmarik and S. M. Kamrul Hasan. Their work appears in journals such as Applied Soft Computing, Computers & Industrial Engineering, IEEE Access, IEEE Transactions on Evolutionary Computation and Information Sciences.

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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