David Hadka

2.0k total citations · 2 hit papers
20 papers, 1.6k citations indexed

About

David Hadka is a scholar working on Computational Theory and Mathematics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, David Hadka has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 6 papers in Ocean Engineering and 6 papers in Artificial Intelligence. Recurrent topics in David Hadka's work include Advanced Multi-Objective Optimization Algorithms (9 papers), Water resources management and optimization (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). David Hadka is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (9 papers), Water resources management and optimization (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). David Hadka collaborates with scholars based in United States, Switzerland and United Kingdom. David Hadka's co-authors include Patrick M. Reed, Jonathan D. Herman, Joseph Kasprzyk, Joshua B. Kollat, Klaus Keller, Timothy W. Simpson, Antonia Hadjimichael, David Gold, Jonathan P. Lynch and Tony E. Wong and has published in prestigious journals such as PLoS ONE, Water Resources Research and The Plant Journal.

In The Last Decade

David Hadka

20 papers receiving 1.5k citations

Hit Papers

Borg: An Auto-Adaptive Many-Objective Evolutionary Comput... 2012 2026 2016 2021 2012 2012 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Hadka United States 11 773 536 434 412 302 20 1.6k
Joshua B. Kollat United States 17 936 1.2× 900 1.7× 584 1.3× 321 0.8× 470 1.6× 26 2.0k
Emily M. Zechman United States 20 828 1.1× 681 1.3× 802 1.8× 92 0.2× 402 1.3× 63 1.9k
Rodolfo Soncini‐Sessa Italy 28 1.3k 1.6× 1.1k 2.0× 484 1.1× 79 0.2× 640 2.1× 74 2.2k
Edward Keedwell United Kingdom 21 226 0.3× 317 0.6× 447 1.0× 175 0.4× 350 1.2× 96 1.5k
M. Janga Reddy India 28 1.0k 1.3× 999 1.9× 783 1.8× 131 0.3× 1.3k 4.2× 88 2.8k
M.H. Afshar Iran 31 1.1k 1.4× 436 0.8× 1.5k 3.5× 124 0.3× 194 0.6× 152 2.8k
Mitthan Lal Kansal India 20 229 0.3× 511 1.0× 485 1.1× 80 0.2× 269 0.9× 97 1.7k
Aaron C. Zecchin Australia 33 1.2k 1.6× 432 0.8× 2.4k 5.5× 196 0.5× 267 0.9× 121 3.3k
L. Shawn Matott United States 19 291 0.4× 475 0.9× 205 0.5× 88 0.2× 395 1.3× 37 1.2k
Hamid R. Safavi Iran 23 668 0.9× 738 1.4× 244 0.6× 69 0.2× 402 1.3× 75 1.5k

Countries citing papers authored by David Hadka

Since Specialization
Citations

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

Fields of papers citing papers by David Hadka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hadka

This figure shows the co-authorship network connecting the top 25 collaborators of David Hadka. A scholar is included among the top collaborators of David Hadka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Hadka. David Hadka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hadka, David, et al.. (2024). Diagnostic benchmarking of many-objective evolutionary algorithms for real-world problems. Engineering Optimization. 57(1). 287–308. 3 indexed citations
2.
Hadka, David, et al.. (2022). Multi‐objective optimization of root phenotypes for nutrient capture using evolutionary algorithms. The Plant Journal. 111(1). 38–53. 15 indexed citations
3.
Hadjimichael, Antonia, David Gold, David Hadka, & Patrick M. Reed. (2020). Rhodium: Python Library for Many-Objective Robust Decision Making and Exploratory Modeling. Journal of Open Research Software. 8(1). 12–12. 24 indexed citations
4.
Wong, Tony E., Vivek Srikrishnan, David Hadka, & Klaus Keller. (2017). A multi-objective decision-making approach to the journal submission problem. PLoS ONE. 12(6). e0178874–e0178874. 17 indexed citations
5.
Usher, Will, et al.. (2017). SALib/SALib: SALib v1.1.0. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
6.
Usher, Will, et al.. (2016). SALib/SALib: Launch!. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
7.
Hadka, David. (2016). High Performance Computing with the MOEA Framework and Ignite. 2 indexed citations
8.
Hadka, David, et al.. (2016). SALib: Improvements to Morris sampling and Sobol groups/distributions. INFM-OAR (INFN Catania). 1 indexed citations
9.
Kasprzyk, Joseph, Patrick M. Reed, & David Hadka. (2015). Battling Arrow’s Paradox to Discover Robust Water Management Alternatives. Journal of Water Resources Planning and Management. 142(2). 36 indexed citations
10.
Usher, Will, et al.. (2015). SALib: New documentation, doc strings and installation requirements. INFM-OAR (INFN Catania). 5 indexed citations
11.
Hadka, David, Jonathan D. Herman, Patrick M. Reed, & Klaus Keller. (2015). An open source framework for many-objective robust decision making. Environmental Modelling & Software. 74. 114–129. 125 indexed citations
12.
Reed, Patrick M. & David Hadka. (2014). Evolving many‐objective water management to exploit exascale computing. Water Resources Research. 50(10). 8367–8373. 25 indexed citations
13.
Hadka, David & Patrick M. Reed. (2014). Large-scale parallelization of the Borg multiobjective evolutionary algorithm to enhance the management of complex environmental systems. Environmental Modelling & Software. 69. 353–369. 65 indexed citations
14.
Hadka, David, Kamesh Madduri, & Patrick M. Reed. (2013). Scalability Analysis of the Asynchronous, Master-Slave Borg Multiobjective Evolutionary Algorithm. 425–434. 6 indexed citations
15.
Hadka, David, Patrick M. Reed, & Timothy W. Simpson. (2012). Auto-Adaptive Search Capabilities of the New Borg MOEA: A Detailed Comparison on Alternative Product Family Design Problem Formulations. 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 3 indexed citations
16.
Hadka, David & Patrick M. Reed. (2012). Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework. Evolutionary Computation. 21(2). 231–259. 571 indexed citations breakdown →
17.
Reed, Patrick M., David Hadka, Jonathan D. Herman, Joseph Kasprzyk, & Joshua B. Kollat. (2012). Evolutionary multiobjective optimization in water resources: The past, present, and future. Advances in Water Resources. 51. 438–456. 428 indexed citations breakdown →
18.
Hadka, David, Patrick M. Reed, & Timothy W. Simpson. (2012). Diagnostic assessment of the borg MOEA for many-objective product family design problems. Zenodo (CERN European Organization for Nuclear Research). 1–10. 46 indexed citations
19.
Hadka, David & Patrick M. Reed. (2011). Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization. Evolutionary Computation. 20(3). 423–452. 187 indexed citations
20.
Hadka, David, et al.. (2007). The investigation of laser-induced breakdown spectroscopy for detection of biological contaminants on surfaces. 22(4). 28–35. 8 indexed citations

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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