Howard Johnson

544 total citations
13 papers, 379 citations indexed

About

Howard Johnson is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Howard Johnson has authored 13 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Howard Johnson's work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (5 papers). Howard Johnson is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (5 papers). Howard Johnson collaborates with scholars based in Canada and United States. Howard Johnson's co-authors include Roland Kühn, George Foster, Joel Martin, Michel Simard, Boxing Chen, Eric Joanis, Nicola Ueffing, Fatiha Sadat, Anna Maclachlan and Aaron Tikuisis and has published in prestigious journals such as NPARC, Empirical Methods in Natural Language Processing and Conference of the Association for Machine Translation in the Americas.

In The Last Decade

Howard Johnson

13 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Howard Johnson Canada	10	371	34	26	12	12	13	379
David Burkett United States	8	298 0.8×	25 0.7×	18 0.7×	8 0.7×	31 2.6×	13	311
Shikhar Vashishth India	7	207 0.6×	20 0.6×	49 1.9×	8 0.7×	13 1.1×	13	229
Rudolf Rosa Czechia	11	279 0.8×	20 0.6×	34 1.3×	7 0.6×	17 1.4×	35	294
Nafise Sadat Moosavi Germany	7	191 0.5×	28 0.8×	16 0.6×	6 0.5×	17 1.4×	28	209
Dennis Connolly United States	4	476 1.3×	30 0.9×	68 2.6×	6 0.5×	30 2.5×	7	498
Saab Mansour Germany	10	311 0.8×	44 1.3×	13 0.5×	3 0.3×	24 2.0×	35	333
Xiaochang Peng United States	10	291 0.8×	42 1.2×	25 1.0×	3 0.3×	22 1.8×	15	312
Benfeng Xu China	6	230 0.6×	34 1.0×	27 1.0×	9 0.8×	29 2.4×	14	261
Gabriel Pereira Lopes Portugal	10	216 0.6×	17 0.5×	16 0.6×	11 0.9×	37 3.1×	42	245
Eunah Cho Germany	13	441 1.2×	91 2.7×	14 0.5×	4 0.3×	26 2.2×	41	463

Countries citing papers authored by Howard Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Howard Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Howard Johnson. A scholar is included among the top collaborators of Howard Johnson 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 Howard Johnson. Howard Johnson 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:

13 of 13 papers shown

1.

Johnson, Howard. (2012). Conditional Significance Pruning: Discarding More of Huge Phrase Tables. Conference of the Association for Machine Translation in the Americas. 1 indexed citations

2.

Chen, Boxing, Roland Kühn, George Foster, & Howard Johnson. (2011). Unpacking and Transforming Feature Functions: New Ways to Smooth Phrase Tables. NPARC. 19 indexed citations

3.

Chen, Boxing, George Foster, Ulrich Germann, et al.. (2010). Lessons from NRC's Portage System at WMT 2010. NPARC. 127–132. 16 indexed citations

4.

Foster, George, et al.. (2009). PORTAGE in the NIST 2009 MT Evaluation. 3 indexed citations

5.

Johnson, Howard, Joel Martin, George Foster, & Roland Kühn. (2007). Improving Translation Quality by Discarding Most of the Phrasetable. Empirical Methods in Natural Language Processing. 967–975. 140 indexed citations

6.

Ueffing, Nicola, et al.. (2007). NRC's PORTAGE system for WMT 2007. 185–188. 24 indexed citations

7.

Johnson, Howard, Fatiha Sadat, George Foster, et al.. (2006). PORTAGE. 134–134. 11 indexed citations

8.

Foster, George, Roland Kühn, & Howard Johnson. (2006). Phrasetable smoothing for statistical machine translation. 53–53. 81 indexed citations

9.

Kühn, Roland, Denis Yuen, Michel Simard, et al.. (2006). Segment choice models. 25–32. 9 indexed citations

10.

Sadat, Fatiha, Howard Johnson, George Foster, et al.. (2005). PORTAGE. 129–129. 21 indexed citations

11.

Martin, Joel, et al.. (2003). Aligning and using an English-Inuktitut parallel corpus. NPARC. 3. 115–118. 21 indexed citations

12.

Johnson, Howard & Joel Martin. (2003). Unsupervised learning of morphology for English and Inuktitut. 2. 43–45. 20 indexed citations

13.

Johnson, Howard, et al.. (1983). A DBMS Facility for Handling Structured Engineering Entities.. 3–11. 13 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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