Robert Ragno

1.9k total citations · 2 hit papers
8 papers, 1.2k citations indexed

About

Robert Ragno is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Robert Ragno has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Robert Ragno's work include Information Retrieval and Search Behavior (2 papers), Model-Driven Software Engineering Techniques (2 papers) and Web Data Mining and Analysis (2 papers). Robert Ragno is often cited by papers focused on Information Retrieval and Search Behavior (2 papers), Model-Driven Software Engineering Techniques (2 papers) and Web Data Mining and Analysis (2 papers). Robert Ragno collaborates with scholars based in United States and United Kingdom. Robert Ragno's co-authors include Matthew Richardson, Ewa Dominowska, Eric Brill, Susan Dumais, Eugene Agichtein, Brian C. Williams, Chris Burges, Quoc V. Le, Cormac Herley and Brian Williams and has published in prestigious journals such as Discrete Applied Mathematics, Current HIV Research and The MIT Press eBooks.

In The Last Decade

Robert Ragno

8 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

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.

Predicting clicks

2007 652 citations Matthew Richardson, Ewa Dominowska et al. profile →
Learning user interaction models for predicting web search result preferences

2006 322 citations Eugene Agichtein, Eric Brill et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Ragno United States	7	730	476	261	190	172	8	1.2k
Sougata Mukherjea United States	21	508 0.7×	419 0.9×	438 1.7×	150 0.8×	46 0.3×	70	1.5k
Derek Bridge Ireland	15	717 1.0×	685 1.4×	178 0.7×	56 0.3×	231 1.3×	54	1.2k
Alexandrin Popescul United States	13	1.1k 1.6×	782 1.6×	373 1.4×	111 0.6×	238 1.4×	19	1.6k
Roberto Turrin Italy	14	1.2k 1.6×	604 1.3×	385 1.5×	105 0.6×	377 2.2×	29	1.4k
Mehmet S. Aktaş Türkiye	22	556 0.8×	350 0.7×	88 0.3×	81 0.4×	69 0.4×	125	1.1k
Marcus Fontoura United States	23	1.1k 1.5×	748 1.6×	166 0.6×	119 0.6×	102 0.6×	53	1.9k
David Maxwell Chickering United States	16	269 0.4×	699 1.5×	99 0.4×	77 0.4×	191 1.1×	35	1.1k
Peretz Shoval Israel	19	640 0.9×	562 1.2×	127 0.5×	25 0.1×	123 0.7×	78	1.1k
Alper Bilge Türkiye	17	885 1.2×	573 1.2×	204 0.8×	89 0.5×	163 0.9×	44	1.1k
Ronny Lempel Israel	21	1.3k 1.8×	725 1.5×	261 1.0×	46 0.2×	180 1.0×	52	1.9k

Countries citing papers authored by Robert Ragno

Since Specialization

Citations

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

Fields of papers citing papers by Robert Ragno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Ragno

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Ragno. A scholar is included among the top collaborators of Robert Ragno 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 Robert Ragno. Robert Ragno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Williams, Brian C. & Robert Ragno. (2007). Conflict-directed A* and its role in model-based embedded systems. Discrete Applied Mathematics. 155(12). 1562–1595. 93 indexed citations

2.

Church, Kenneth, Bo Thiesson, & Robert Ragno. (2007). K-best suffix arrays. 17–20. 6 indexed citations

3.

Richardson, Matthew, Ewa Dominowska, & Robert Ragno. (2007). Predicting clicks. 521–530. 652 indexed citations breakdown →

4.

Burges, Chris, Robert Ragno, & Quoc V. Le. (2007). Learning to Rank with Nonsmooth Cost Functions. The MIT Press eBooks. 193–200. 77 indexed citations

5.

Agichtein, Eugene, Eric Brill, Susan Dumais, & Robert Ragno. (2006). Learning user interaction models for predicting web search result preferences. 3–10. 322 indexed citations breakdown →

6.

Ragno, Robert, Chris Burges, & Cormac Herley. (2005). Inferring similarity between music objects with application to playlist generation. 73–80. 51 indexed citations

7.

Ragno, Robert, et al.. (2002). Solving optimal satisfiability problems through clause-directed A. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

8.

Ingham, Michel D., Robert Ragno, & Brian Williams. (2001). A Reactive Model-based Programming Language for Robotic Space Explorers. Current HIV Research. 19(4). 317–323. 21 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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