Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Software agents
1994629 citationsMichael Genesereth, Steven P. KetchpelCommunications of the ACMprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Steven P. Ketchpel
Since
Specialization
Citations
This map shows the geographic impact of Steven P. Ketchpel'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 Steven P. Ketchpel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven P. Ketchpel more than expected).
Fields of papers citing papers by Steven P. Ketchpel
This network shows the impact of papers produced by Steven P. Ketchpel. 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 Steven P. Ketchpel. The network helps show where Steven P. Ketchpel may publish in the future.
Co-authorship network of co-authors of Steven P. Ketchpel
This figure shows the co-authorship network connecting the top 25 collaborators of Steven P. Ketchpel.
A scholar is included among the top collaborators of Steven P. Ketchpel 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 Steven P. Ketchpel. Steven P. Ketchpel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
16 of 16 papers shown
1.
Ali, Kamal & Steven P. Ketchpel. (2003). Golden Path Analyzer. 349–358.5 indexed citations
Daswani, Neil, Dan Boneh, Héctor García-Molina, Steven P. Ketchpel, & Andreas Paepcke. (1998). SWAPEROO: a simple wallet architecture for payments, exchanges, refunds, and other operations. 11–11.3 indexed citations
7.
García-Molina, Héctor & Steven P. Ketchpel. (1998). The networked information economy: applied and theoretical frameworks for electronic commerce.2 indexed citations
8.
Ketchpel, Steven P., Héctor García-Molina, & Andreas Paepcke. (1997). Shopping models. 65–74.12 indexed citations
9.
Ketchpel, Steven P. & Héctor García-Molina. (1997). Distributed Commerce Transactions.2 indexed citations
10.
Ketchpel, Steven P. & Héctor García-Molina. (1997). Distributed Commerce Transactions with Timing Deadlines and Direct Trust.2 indexed citations
11.
Ketchpel, Steven P., et al.. (1996). U-PAI: A Universal Payment Application Interface.7 indexed citations
Cousins, Steve, et al.. (1995). InterPay: Managing Multiple Payment Mechanisms in Digital Libraries..10 indexed citations
14.
Ketchpel, Steven P.. (1994). Forming coalitions in the face of uncertain rewards. National Conference on Artificial Intelligence. 414–419.78 indexed citations
15.
Kautz, Henry, et al.. (1994). An experiment in the design of software agents. National Conference on Artificial Intelligence. 438–443.31 indexed citations
16.
Genesereth, Michael & Steven P. Ketchpel. (1994). Software agents. Communications of the ACM. 37(7). 48–48.629 indexed citations breakdown →
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.