Drew Conway

422 citations
7 papers · 255 indexed · h-index 4

Impact in

Papers in

Journals
Remote Sensing of Environment (1 paper)American Political Science Review (1 paper)CERN Document Server (European Organization for Nuclear Research) (2 papers)SSRN Electronic Journal (2 papers)

In The Last Decade

Drew Conway

5 papers receiving 233 citations

Peers

Drew Conway
Comparison fields: 5 of 78
  • General Social Sciences 69
  • Communication 52
  • Computer Science Applications 26
  • Artificial Intelligence 95
  • Political Science and International Relations 63
Replace Alexandra Schofield with:
Alexandra Schofield United States
Christopher Kotfila United States
Mathias‐Felipe de‐Lima‐Santos Brazil
Weicong Ding United States
Eirik Stavelin Norway
Giulia Bonelli United Kingdom
Terrell Russell United States
Julian Ausserhofer Austria
Tae Yano United States
Felix Hamborg Germany
Drew Conway relative to Alexandra Schofield United States Alexandra Schofield's profile →
Citations per field
00.5×10×15×20×24×
Alexandra Schofield · 1×
Citations per year

Countries citing papers authored by Drew Conway

Since Specialization
Citations

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

Fields of papers citing papers by Drew Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside Drew Conway, 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 Drew Conway Line = papers co-authored together Drew Conway links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2016188
2 20144
3 20131
4
Machine Learning for Hackers
201255
5
Machine Learning for Email: Spam Filtering and Priority Inbox
20115
6 20100
7 19712

About Drew Conway

Drew Conway is a scholar working on General Social Sciences, Communication, Soil Science, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 7 papers that have together received 255 indexed citations. Recurring topics across this work include Social Media and Politics (1 paper), Computational and Text Analysis Methods (1 paper), Media Influence and Politics (1 paper), Opinion Dynamics and Social Influence (1 paper), Game Theory and Applications (1 paper), Fire effects on ecosystems (1 paper), Evolutionary Game Theory and Cooperation (1 paper) and Hydrology and Sediment Transport Processes (1 paper). The work is most often cited by research in General Social Sciences (69 citations), Communication (52 citations), Computer Science Applications (26 citations), Artificial Intelligence (95 citations) and Political Science and International Relations (63 citations). Drew Conway has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Slava Mikhaylov, Benjamin Lauderdale, Michael Laver, Kenneth Benoit and J.M. White. Their work appears in journals such as Remote Sensing of Environment, American Political Science Review, CERN Document Server (European Organization for Nuclear Research) and SSRN Electronic Journal.

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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