Adele E. Howe

3.3k total citations
90 papers, 1.9k citations indexed

About

Adele E. Howe is a scholar working on Artificial Intelligence, Computer Networks and Communications and Industrial and Manufacturing Engineering. According to data from OpenAlex, Adele E. Howe has authored 90 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 31 papers in Computer Networks and Communications and 25 papers in Industrial and Manufacturing Engineering. Recurrent topics in Adele E. Howe's work include Metaheuristic Optimization Algorithms Research (19 papers), Scheduling and Optimization Algorithms (18 papers) and AI-based Problem Solving and Planning (17 papers). Adele E. Howe is often cited by papers focused on Metaheuristic Optimization Algorithms Research (19 papers), Scheduling and Optimization Algorithms (18 papers) and AI-based Problem Solving and Planning (17 papers). Adele E. Howe collaborates with scholars based in United States, South Korea and Canada. Adele E. Howe's co-authors include L. Darrell Whitley, Jean‐Paul Watson, Laura Barbulescu, Paul R. Cohen, Darrell Whitley, A. von Mayrhauser, Larry D. Pyeatt, Mark Roberts, David M. Hart and Michael Greenberg and has published in prestigious journals such as Computers in Human Behavior, Journal of the Operational Research Society and Artificial Intelligence.

In The Last Decade

Adele E. Howe

84 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adele E. Howe United States 25 962 616 443 376 272 90 1.9k
H. Van Dyke Parunak United States 27 1.1k 1.1× 842 1.4× 316 0.7× 532 1.4× 172 0.6× 133 2.6k
Howard Shrobe United States 21 1.2k 1.2× 651 1.1× 520 1.2× 79 0.2× 66 0.2× 86 2.1k
Michael Genesereth United States 24 2.7k 2.8× 1.3k 2.1× 904 2.0× 370 1.0× 42 0.2× 80 3.8k
Reid G. Smith United States 14 1.1k 1.2× 422 0.7× 219 0.5× 288 0.8× 27 0.1× 43 1.8k
Mike Hinchey United States 26 1.7k 1.8× 996 1.6× 1.1k 2.4× 76 0.2× 99 0.4× 219 2.9k
Philipp Rohlfshagen United Kingdom 13 1.3k 1.4× 194 0.3× 96 0.2× 177 0.5× 107 0.4× 24 2.1k
Ernest Davis United States 21 1.0k 1.1× 435 0.7× 77 0.2× 165 0.4× 37 0.1× 80 1.9k
Mike Dean United States 11 1.3k 1.3× 480 0.8× 770 1.7× 50 0.1× 169 0.6× 36 1.9k
Fredrik Heintz Sweden 19 652 0.7× 238 0.4× 224 0.5× 49 0.1× 221 0.8× 97 1.7k
Earl D. Sacerdoti United States 9 1.8k 1.9× 462 0.8× 212 0.5× 227 0.6× 23 0.1× 13 2.4k

Countries citing papers authored by Adele E. Howe

Since Specialization
Citations

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

Fields of papers citing papers by Adele E. Howe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adele E. Howe. 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 Adele E. Howe. The network helps show where Adele E. Howe may publish in the future.

Co-authorship network of co-authors of Adele E. Howe

This figure shows the co-authorship network connecting the top 25 collaborators of Adele E. Howe. A scholar is included among the top collaborators of Adele E. Howe 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 Adele E. Howe. Adele E. Howe 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.
Sutton, Andrew M., L. Darrell Whitley, & Adele E. Howe. (2011). Computing the moments of k-bounded pseudo-Boolean functions over Hamming spheres of arbitrary radius in polynomial time. Theoretical Computer Science. 425. 58–74. 10 indexed citations
2.
Roberts, Mark, et al.. (2008). What makes planners predictable. International Conference on Automated Planning and Scheduling. 288–295. 13 indexed citations
3.
Roberts, Mark & Adele E. Howe. (2008). Learning from planner performance. Artificial Intelligence. 173(5-6). 536–561. 24 indexed citations
4.
Sutton, Andrew M., Adele E. Howe, & L. Darrell Whitley. (2007). Using adaptive priority weighting to direct search in probabilistic scheduling. International Conference on Automated Planning and Scheduling. 320–327.
5.
Rogers, Mark F., Adele E. Howe, & Darrell Whitley. (2006). Looking for shortcuts: infeasible search analysis for oversubscribed scheduling problems. International Conference on Automated Planning and Scheduling. 33 Suppl 3. 314–323. 4 indexed citations
6.
Barbulescu, Laura, Adele E. Howe, L. Darrell Whitley, & Mark Roberts. (2006). Understanding Algorithm Performance on an Oversubscribed Scheduling Application. Journal of Artificial Intelligence Research. 27. 577–615. 24 indexed citations
7.
Howe, Adele E., et al.. (2005). Genre classification of web documents. National Conference on Artificial Intelligence. 1596–1597. 8 indexed citations
8.
Howe, Adele E., et al.. (2004). QueryTracker: An Agent for Tracking Persistent Information Needs. Adaptive Agents and Multi-Agents Systems. 2. 488–495. 4 indexed citations
9.
Barbulescu, Laura, L. Darrell Whitley, & Adele E. Howe. (2004). Leap before you look: an effective strategy in an oversubscribed scheduling problem. National Conference on Artificial Intelligence. 143–148. 32 indexed citations
10.
Howe, Adele E., et al.. (2002). Development of an expert system for assessing trumpeter swan breeding habitat in the Northern Rocky Mountains.. Waterbirds. 25(1). 313–318. 2 indexed citations
11.
Watson, Jean‐Paul, Laura Barbulescu, Adele E. Howe, & L. Darrell Whitley. (1999). Algorithm performance and problem structure for flow-shop scheduling. National Conference on Artificial Intelligence. 688–695. 31 indexed citations
12.
Pyeatt, Larry D. & Adele E. Howe. (1998). Learning to Race: Experiments with a Simulated Race Car. The Florida AI Research Society. 357–361. 16 indexed citations
13.
Howe, Adele E. & Simon Parsons. (1998). Special issue: perspectives on recent intelligent agents research as viewed through two conferences. The Knowledge Engineering Review. 13(2). 129–130. 2 indexed citations
14.
Rana, Soraya, Adele E. Howe, L. Darrell Whitley, & Keith E. Mathias. (1996). Comparing Heuristic, Evolutionary and Local Search Approaches to Scheduling. 11 indexed citations
15.
Howe, Adele E., et al.. (1995). Comparison of methods for improving search efficiency in a partial-order planner. International Joint Conference on Artificial Intelligence. 1620–1626. 10 indexed citations
16.
Howe, Adele E. & Paul R. Cohen. (1995). Understanding planner behavior. Artificial Intelligence. 76(1-2). 125–166. 12 indexed citations
17.
Howe, Adele E.. (1992). Analyzing failure recovery to improve planner design. National Conference on Artificial Intelligence. 387–392. 5 indexed citations
18.
Howe, Adele E. & Paul R. Cohen. (1991). Failure recovery: a model and experiments. National Conference on Artificial Intelligence. 801–808. 13 indexed citations
19.
Cohen, Paul R., Michael Greenberg, David M. Hart, & Adele E. Howe. (1989). Trial by fire: understanding the design requirements for agents in complex environments. AI Magazine. 10(3). 34–48. 133 indexed citations
20.
Howe, Adele E., et al.. (1988). How evaluation guides AI research. AI Magazine. 9(4). 35–43. 58 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026